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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 7269
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    Explanations

    restless or repetitive motion

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "forth"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SEA
    -0.70
     rack
    -0.70
     Stuff
    -0.65
    azo
    -0.61
     Hunting
    -0.60
     Rou
    -0.60
    archives
    -0.57
     Roll
    -0.57
     Brilliant
    -0.56
     antidepressants
    -0.55
    POSITIVE LOGITS
     forth
    0.96
    forth
    0.95
    comings
    0.93
    \\\\\\\\
    0.92
    geist
    0.82
    right
    0.81
    rance
    0.80
    rils
    0.79
    omever
    0.79
    entimes
    0.79
    Activations Density 0.010%

    No Known Activations